As a Full Stack Engineer at Pandora, you will play a critical role in building

scalable, resilient AI services and platform capabilities that bring advanced AI to production.

Your primary focus is infrastructure and backend engineering, designing and operating high performance standardized systems, while your full-stack experience enables you to contribute

across the product surface and integrate AI features seamlessly into end-to-end experiences.

You will collaborate closely with Data Scientists, ML Engineers, MLOps, and Product

stakeholders to build the backbones for production-grade AI-powered solutions on the Microsoft

Azure platform, ensuring our systems are secure, scalable, efficient and maintainable.

We're seeking someone with great written and spoken communication who combines strong

technical craft with a pragmatic approach to shipping high-quality platform services. You thrive

in fast-paced environments, enjoy solving complex engineering and infrastructure challenges,

and are passionate about turning innovation into reliable, production-ready platforms. Join us to

help shape the future of intelligent applications in a collaborative, forward-thinking, and impact driven team.

• Design and develop scalable backend services and platform components that expose

AI/ML capabilities, contributing to frontend surfaces where needed.

• Build, secure, and operate containerized workloads on Kubernetes, including

configuration management, observability, debugging, and security hardening.

• Design and implement high-performance, production-grade backend in Python, with

openness to systems-level languages (Rust or Go) where performance and scalability

demands require it.

• Collaborate with cross-functional teams to productize AI solutions on Azure, applying

domain knowledge to configure and critically evaluate the infrastructure and AI gateway

layers that underpin those solutions.

• Build and manage CI/CD pipelines for deployment, testing, and monitoring of AI enabled applications.

• Ensure performance, availability, and maintainability of solutions in production and

handle incidents in a timely manner to reduce MTTC.

• Participate in code reviews and architecture discussions to enforce engineering best

practices.

• Stay current with industry trends and contribute to continuous improvement of

development processes

Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, Computer Engineering, or

a related field.

Experience:

3–6 years of experience as a Full-Stack or Backend Engineer, with a demonstrable

emphasis on backend and platform engineering.

Experience working with generative AI features or LLM-based integrations in a product

or platform context.

Retail industry or e-commerce experience is highly desirable.

Technical Skills:

Strong backend engineering fundamentals, including service architecture, REST API design,

performance optimization, and production reliability; hands-on experience with Docker,

Kubernetes, and Azure App Services

Proficient in Python for backend development; experience with high-performance languages

such as Rust or Go is a plus

Experience with platform-level testing (API integration, load/performance with Locust/k6,

authentication flows, E2E for ML endpoints) and test automation in CI/CD pipelines

Hands-on Kubernetes experience, including workload configuration, networking, security,

and production debugging; familiarity with Azure cloud services and network configuration

Experience with ML serving infrastructure, including optimization, multi-layer caching, and

exposing AI-powered features using LLM APIs and prompt integration

Strong proficiency in PostgreSQL, with experience in data querying and analysis

Experience configuring API/AI gateways (e.g., Kong or Azure API Management) for

production-scale workloads is a plus

Frontend exposure (HTML, CSS, JavaScript, React, or Next.js) is beneficial but not required

Soft Skills:

Excellent problem-solving skills and the ability to work independently and as part of a

team